Fully Funded PhD Studentship: CDTnet – European Doctoral Network in Computational Cardiology

About the Position

King's College London is leading CDTnet, a European doctoral network supporting the training of PhD researchers in the development of cardiovascular Digital Twins.

Opportunity	Fully Funded PhD Studentship: CDTnet – European Doctoral Network in Computational Cardiology
Host	King's College London
Location	London, United Kingdom
Study Level	PhD
Funding	Fully Funded
Stipend	Fully Funded (MSCA-style doctoral network)
Application Deadline	Open - Apply as soon as possible
Apply	Official application page ↗

Basic Information

• Full Programme Name: CDTnet – Cardiovascular Digital Twin Network
• Host Institution: King's College London (lead)
• Study Level: PhD
• Number of Positions: 15 PhD researchers across the network
• Start Date: Projects opening September 2026 onward
• Funding Type: Fully Funded (MSCA-style doctoral network)
• Eligibility: Open to all nationalities
• Application Deadline: Rolling as projects are advertised from September 2026
• Official Link: https://www.cdtnet.eu/

Project Overview & Significance

King's College London is leading CDTnet, a groundbreaking new European doctoral network that will revolutionise cardiovascular care. The network will support the training of 15 PhD researchers in the development of cardiovascular Digital Twins. A Digital Twin is a highly sophisticated, personalised virtual representation of an individual patient's heart. By simulating the physical and physiological processes of the heart, these digital twins can help detect and assess risks earlier, improve diagnostic accuracy, and support the selection of the most effective, personalised treatment strategies. This project sits at the absolute forefront of computational medicine, bringing together leading universities, clinical institutions, and industry partners across Europe.

Research Themes & Objectives

The research within CDTnet is highly interdisciplinary, combining advanced computational modelling, fluid dynamics, and artificial intelligence to create accurate, predictive cardiac models. The objective is to move beyond generic treatments and enable truly personalised cardiology. By creating a digital twin of a patient's heart, clinicians can test the efficacy of different interventions in a virtual environment before applying them in the real world. This minimises risk and maximises the chances of successful patient outcomes.

Training & Development

As an MSCA-style doctoral network, CDTnet offers an exceptional, structured training programme. PhD researchers will receive comprehensive training in scientific communication, ensuring they can present complex computational concepts to diverse audiences. The programme also includes modules on entrepreneurship, clinical translation, ethics, and leadership. Furthermore, students will receive specialised training in artificial intelligence and innovation, equipping them with the skills needed to bring computational medical technologies from the lab to the clinic. The networked nature of the programme means students will undertake secondments at partner institutions, gaining diverse academic and industry experiences.

Eligibility and Requirements

The network is open to all nationalities. Specific requirements will vary depending on the individual project advertised within the network. Generally, candidates should have a strong background in computer science, physics, biomedical engineering, or medicine, with a keen interest in applying computational methods to cardiology.

Contact

Questions about this position, eligibility or the application process should be raised through the contact channel given on the official announcement page (see the Official Link section above). Always quote the position reference in your message so the admissions or HR team can route your enquiry quickly.

Important Notes

• Application deadline: Open - Apply as soon as possible - late or incomplete applications are normally not considered.
• Listing details were recorded from the official source at the time of publication; always confirm the latest requirements on the official page before applying.
• Prepare the documents listed in the eligibility and application sections before starting the online form - transcripts, CV and references take the longest to collect.

About King's College London

King's College London is a public research university and a Russell Group member. Its undergraduate, postgraduate and doctoral programmes span medicine, law, humanities, psychology, science and other disciplines. With campuses across central London, King's connects academic study and research with healthcare institutions, cultural organisations and wider questions affecting contemporary society.

Official website: https://www.kcl.ac.uk/

How to Apply

Projects will begin being advertised from September 2026 onward. Prospective applicants are advised to monitor the CDTnet website (https://www.cdtnet.eu/) and follow the network on LinkedIn for the latest project adverts and application instructions.

MSCA 2026 rates: doctoral candidates receive a living allowance of €4,010 per month plus a mobility allowance of €710 per month (€660 family top-up where eligible), adjusted by the national correction coefficient.

Application guides

• How to Read a PhD Job Advert: Funding, Eligibility and Application Steps
• Academic CV for PhD Applications: Structure and an Example
• UK Student Visa Application: CAS, Documents and Financial Evidence

Official Link

https://www.kcl.ac.uk/news/kings-leads-new-european-doctoral-network-in-computational-cardiology